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This paper investigates the interplay between different types of user interactions on Twitter, with respect to predicting missing or unseen interactions. For example, given a set of retweet interactions between Twitter users, how accurately…

Social and Information Networks · Computer Science 2019-04-26 Konstantinos Sotiropoulos , John W. Byers , Polyvios Pratikakis , Charalampos E. Tsourakakis

Online forums are rich sources of information about user communication activity over time. Finding temporal patterns in online forum communication threads can advance our understanding of the dynamics of conversations. The main challenge of…

Social and Information Networks · Computer Science 2012-01-12 Andrey Kan , Jeffrey Chan , Conor Hayes , Bernie Hogan , James Bailey , Christopher Leckie

Polls posted on social media have emerged in recent years as an important tool for estimating public opinion, e.g., to gauge public support for business decisions and political candidates in national elections. Here, we examine nearly two…

Social and Information Networks · Computer Science 2024-06-06 Stephen Scarano , Vijayalakshmi Vasudevan , Chhandak Bagchi , Mattia Samory , JungHwan Yang , Przemyslaw A. Grabowicz

In this paper, we explore salient questions about user interests, conversations and friendships in the Facebook social network, using a novel latent space model that integrates several data types. A key challenge of studying Facebook's data…

Social and Information Networks · Computer Science 2012-11-02 Qirong Ho , Rong Yan , Rajat Raina , Eric P. Xing

In recent years, social media has become a ubiquitous and integral part of social networking. One of the major attentions made by social researchers is the tendency of like-minded people to interact with one another in social groups, a…

Social and Information Networks · Computer Science 2020-08-25 Kazi Zainab Khanam , Gautam Srivastava , Vijay Mago

We combine user-centric Twitter data with video-centric YouTube data to analyze who watches and shares what on YouTube. Combination of two data sets, with 87k Twitter users, 5.6mln YouTube videos and 15mln video sharing events, allows rich…

Social and Information Networks · Computer Science 2016-02-23 Adiya Abisheva , Venkata Rama Kiran Garimella , David Garcia , Ingmar Weber

Humans make decisions based on the information they obtain from several major sources, among which the comments of others in Internet forums play an increasing role. Such forums cover a wide spectrum of topics and represent an essential…

Physics and Society · Physics 2019-09-24 Maryam Zamani , Fereshteh Rabbani , Attila Horicsányi , Anna Zafeiris , Tamas Vicsek

Unlike traditional media, social media typically provides quantified metrics of how many users have engaged with each piece of content. Some have argued that the presence of these cues promotes the spread of misinformation. Here we…

Social and Information Networks · Computer Science 2022-07-18 Ziv Epstein , Hause Lin , Gordon Pennycook , David Rand

Topics in conversations depend in part on the type of interpersonal relationship between speakers, such as friendship, kinship, or romance. Identifying these relationships can provide a rich description of how individuals communicate and…

Social and Information Networks · Computer Science 2024-04-02 Minje Choi , Ceren Budak , Daniel M. Romero , David Jurgens

Recently, the emergence of the #MeToo trend on social media has empowered thousands of people to share their own sexual harassment experiences. This viral trend, in conjunction with the massive personal information and content available on…

Social and Information Networks · Computer Science 2020-01-17 Viet Duong , Phu Pham , Ritwik Bose , Jiebo Luo

Online popularity has enormous impact on opinions, culture, policy, and profits. We provide a quantitative, large scale, temporal analysis of the dynamics of online content popularity in two massive model systems, the Wikipedia and an…

Social media platforms disseminate extensive volumes of online content, including true and, in particular, false rumors. Previous literature has studied the diffusion of offline rumors, yet more research is needed to understand the…

Social and Information Networks · Computer Science 2023-03-22 Nicolas Pröllochs , Stefan Feuerriegel

This study uses sentiment analysis and the Moral Foundations Theory (MFT) to characterise news content in social media and examine its association with user engagement. We employ Natural Language Processing to quantify the moral and…

Social and Information Networks · Computer Science 2025-02-18 Jacopo D'Ignazi , Kyriaki Kalimeri , Mariano G. Beiró

This paper investigates the usage patterns of Facebook among different demographics in the United States, focusing on the consumption of political information and its variability across age, gender, and ethnicity. Employing a novel data…

Social and Information Networks · Computer Science 2024-07-12 Joao Couto , Kiran Garimella

Fulfilling social connections are crucial for human well-being and belonging, but not all relationships last forever. As interactions increasingly move online, the act of digitally severing a relationship - e.g. through blocking or…

Human-Computer Interaction · Computer Science 2026-01-09 Michael Yin , Angela Chiang , Robert Xiao

Today, many users are actively using Twitter to express their opinions and to share information. Thanks to the availability of the data, researchers have studied behaviours and social networks of these users. International migration studies…

Social and Information Networks · Computer Science 2021-03-08 Jisu Kim , Alina Sîrbu , Fosca Giannotti , Giulio Rossetti

This study examines Olympic champions characteristics on Instagram to first understand how age and gender affect the characteristics and their interrelations and second to see if the future changes in those characteristics are predictable.…

Social and Information Networks · Computer Science 2021-08-17 Amirhosein Bodaghi

Understanding the factors that impact the popularity dynamics of social media can drive the design of effective information services, besides providing valuable insights to content generators and online advertisers. Taking YouTube as case…

Social and Information Networks · Computer Science 2014-10-20 Flavio Figueiredo , Jussara M. Almeida , Marcos André Gonçalves , Fabrício Benevenuto

Loneliness has reached epidemic proportions globally, posing serious risks to mental and physical health. As social media platforms increasingly mediate social interaction, understanding their relationship with loneliness has become urgent.…

Human-Computer Interaction · Computer Science 2025-10-09 Yajing Wang , Talayeh Aledavood , Juhi Kulshrestha

Images become an important and prevalent way to express users' activities, opinions and emotions. In a social network, individual emotions may be influenced by others, in particular by close friends. We focus on understanding how users…

Social and Information Networks · Computer Science 2014-01-20 Xiaohui Wang , Jia Jia , Lianhong Cai , Jie Tang